agent wiki
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.
Engineering governance for AI coding agents: keep AI-generated code aligned with your architecture, standards, and prior decisions.
Engineer user-research methodologies into AI prompts — professional-grade phone interviews at scale. 6 pluggable methodologies, 3 AI skills, 5+ tool compatibility.
Graph-first, automatically orchestrated AI development workflow. One prompt starts the entire lifecycle — from blank repo to production.
Generate AI context files from your codebase's actual conventions. Not what agents already know — what they keep missing.
OVP: the open visualization protocol for describing, validating, and rendering information design identically, for humans, software, and AI agents, on any platform. 74 chart skills x 16 design languages.
iOS Agent Skills 2026: Test 11 Tasks, 260+ Scenarios, 850+ Assertions on 3 Models
The System Prompt Architecture that upgrades LLMs into Senior B2B Systems Architects. Enforces Zero-Defect coding via Toyota Jidoka and Inversion Thinking.
Live index of cursor-rules files from GitHub, updated every 15 minutes
Swift-UIKit-Pro 2026: Build Production-Ready Programmatic iOS Apps with Advanced Architecture & Data Flow Patterns
100+ production-ready configurations for AI coding agents (Cursor, Claude Code, Codex, Copilot)
UIKit Expert Skill 2026 - Best Practices & High Performance Swift Code
Unslop Your AI Output 2026 - Humanize Text Instantly, No AI Clichés
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